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to 10 years by the Danish National Research Foundation (https://dg.dk/en/) and represents a collaboration between the Faculty of Humanities at the University of Copenhagen and the National Museum
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lab, you will lead a research project focused on dissecting how the various cellular tasks of MYC are orchestrated in individual cells. You will integrate loss- and gain-of-function tools (e.g., CRISPR
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from conventional materials (e.g., traditional metals), two-dimensional materials, and their combinations. The project will employ a broad spectrum of analytical, semi-analytical, and numerical
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extraction techniques. Strong knowledge of protein science and its application in food systems. Proficiency in analytical techniques relevant to food and protein characterization. Skills in statistical
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development of cardiometabolic diseases (CMD) such as obesity, type 2 diabetes, and cardiovascular disease. The goal is to generate knowledge that can lead to new prevention or treatment options for people
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candidate, who will contribute to the development and implementation of the theory, and to applications in secure compilation. Further details on the planned research are summarized in the technical part of
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code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and
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modelling, transmission electron microscopy imaging, single particle cryogenic electron microscopy or X-ray crystallography. Solid understanding of proteins and their role in cells. Desire and motivation
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. You should have a strong academic background in engineering, applied mathematics, or computer science, combined with a clear interest in scientific programming, machine learning, and data analytics
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is highly desirable. The candidate should have good analytical skills as well as good communication skills in English. You should have completed a two-year master's degree (120 ECTS points) in